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DTSTAMP:20191206T142455Z
LOCATION:Panorama 1
DTSTART;TZID=Europe/Stockholm:20180627T083000
DTEND;TZID=Europe/Stockholm:20180627T090000
UID:isc_hpc_ISC High Performance 2018_sess171_inv_sp137@linklings.com
SUMMARY:Fluid Structure Interaction Study for Hemodynamic Evaluation of Tr
 anscatheter Aortic Valve Replacement Device using HPC
DESCRIPTION:Focus Session\n\nFluid Structure Interaction Study for Hemodyn
 amic Evaluation of Transcatheter Aortic Valve Replacement Device using HPC
 \n\nSodhani\n\nTranscatheter aortic valve replacement (TAVR) is swiftly be
 coming a standard for high risk surgical patients with positive clinical r
 esults. Hence, efforts are being made to expand TAVR to low risk surgical 
 patients. However, recent evidence of leaflet thrombosis and reduced leafl
 et mobility in TAVR devices has raised concerns of long-term valve durabil
 ity. Risk factor of thrombosis in TAVR patients remain poorly defined, but
  data suggests that hemodynamics in the vicinity of the valve prosthesis i
 s a critical factor in the development of leaflet thrombosis. In conjuncti
 on with experiments, FSI can greatly augment the knowledge gained for thro
 mbus assessment related to artificial heart valves. It can be used for hig
 h-resolution evaluation of flow parameters (e.g. wall shear stress, detail
 ed location of blood clot) which are otherwise difficult/impossible to mea
 sure in-vivo or in-vitro. These parameters can be used to optimize valve d
 esign while also allowing patient specific evaluation of TAVR devices. In 
 case of a patient specific evaluation of TAVR devices, thrombus assessment
  would aid surgeons in pre-operative planning with respect to the choice o
 f TAVR device and its placement in patient’s anatomy. But, such assessment
  can be computationally time consuming and exhaustive. High performance co
 mputing (HPC) would assist in significantly reducing the computation time.
  In this work, we test the capabilities of HPC for hemodynamics assessment
  using FSI method for a TAVR device in both ideal and patient specific env
 ironment.\n\nPasses: Conference Pass, Clouds and Distributed Computing, Pe
 rformance Analysis and Optimization, Personalized Medicine\n\nTag: Confere
 nce Pass, Clouds and Distributed Computing, Performance Analysis and Optim
 ization, Personalized Medicine
URL:https://2018.isc-program.com/presentation/?id=inv_sp137&sess=sess171
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